Content Manager
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You are low ego and high ownership, and you like being the first member of a team that is being built. Paris/London, hybrid: 3 days a week on average in our office (8 rue Sainte-Cécile, 75009) or with customers. Occasional travel to London and the US. What We Offer Join the early days of one of Europe's most ambitious AI companies, and shape the stories the world reads about it. Real ownership: the first content role in a Brand team being built, with direct access to our researchers, engineers a
Relevance is based on skills and concepts, not a guarantee that you qualify.
Coming-soon courses matched to this posting: outline, waitlist, and skill path.
1. Candidate Generation vs. Knowledge Production
Understand the fundamental distinction between AI-generated outputs and validated research, and map the validation gap in your domain.
2. Provenance Tracking Systems
Build systems that trace every AI-generated claim, code snippet, and hypothesis back to verifiable sources.
3. Falsifiability and Validation Layers
Implement concrete checks that test whether AI-generated research candidates can be challenged, reproduced, or formalized.
4. Role Clarity and Accountability Frameworks
Establish who decides when an AI-assisted output is correct enough to act on, and how responsibility flows through the pipeline.
5. Technical Research Workflows
Apply validation pipelines to literature mapping, proof assistance, baseline code generation, and computational experiments.
6. Product and Business Research Workflows
Build validation systems for customer feedback analysis, market narrative synthesis, and evidence-based decision making.
7. Engineering and System Design Workflows
Validate AI-generated design alternatives, test cases, failure modes, and architectural recommendations in engineering contexts.
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